Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. - Feng Mao; Xiang Wu 004; Hui Xue 001; Rong Zhang 006 (ECCV Workshops (4), 2018)

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks. - Xiaofeng Mao; Yuefeng Chen; Yuhong Li; Tao Xiong; Yuan He 011; Hui Xue 001 (ICASSP, 2019)

Hybrid Sequence Encoder for Text Based Video Retrieval. - Xiang Wu 004; Da Chen 003; Yuan He 011; Hui Xue 001; Mingli Song; Feng Mao (TRECVID, 2019)

Deep Features Analysis with Attention Networks. - Shipeng Xie; Da Chen 003; Rong Zhang 006; Hui Xue 001 (CoRR, 2019)

AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients. - Xiaodan Li; Yuefeng Chen; Yuan He 011; Hui Xue 001 (CoRR, 2019)

Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift. - Da Chen 003; Feng Mao; Mingli Song; Yuan He 011; Xiang Wu 004; Jinqiao Wang; Wenbin Li 002; Yongliang Yang; Hui Xue 001 (CoRR, 2019)

Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. - Zhe Ma 002; Jianfeng Dong; Zhongzi Long; Yao Zhang 019; Yuan He 011; Hui Xue 001; Shouling Ji (AAAI, 2020)

SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. - He Zhao; Longtao Huang; Rong Zhang 006; Quan Lu; Hui Xue 001 (ACL, 2020)

Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection. - Yining Lang; Yuan He 011; Fan Yang; Jianfeng Dong; Hui Xue 001 (CVPR, 2020)

A Visual Inductive Priors Framework for Data-Efficient Image Classification. - Pengfei Sun; Xuan Jin; Wei Su; Yuan He 011; Hui Xue 001; Quan Lu (ECCV Workshops (2), 2020)

Self-Supervised Adversarial Training. - Kejiang Chen; Yuefeng Chen; Hang Zhou 007; Xiaofeng Mao; Yuhong Li; Yuan He 011; Hui Xue 001; Weiming Zhang 001; Nenghai Yu (ICASSP, 2020)

Hierarchical Sequence Representation with Graph Network. - Da Chen 003; Xiang Wu 004; Jianfeng Dong; Yuan He 011; Hui Xue 001; Feng Mao (ICASSP, 2020)

The Open Brands Dataset: Unified Brand Detection and Recognition at Scale. - Xuan Jin; Wei Su; Rong Zhang 006; Yuan He 011; Hui Xue 001 (ICASSP, 2020)

Design-Gan: Cross-Category Fashion Translation Driven By Landmark Attention. - Yining Lang; Yuan He 011; Jianfeng Dong; Fan Yang; Hui Xue 001 (ICASSP, 2020)

Learning to Characterize Adversarial Subspaces. - Xiaofeng Mao; Yuefeng Chen; Yuhong Li; Yuan He 011; Hui Xue 001 (ICASSP, 2020)

Smart Fire Alarm System with Person Detection and Thermal Camera. - Yibing Ma; Xuetao Feng; Jile Jiao; Zhongdong Peng; Shenger Qian; Hui Xue 001; Hua Li (ICCS (7), 2020)

Sharp Multiple Instance Learning for DeepFake Video Detection. - Xiaodan Li; Yining Lang; Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Shuhui Wang; Hui Xue 001; Quan Lu (ACM Multimedia, 2020)

Fighting Against Deepfake: Patch&Pair Convolutional Neural Networks (PPCNN). - Xurong Li; Kun Yu; Shouling Ji; Yan Wang; Chunming Wu 001; Hui Xue 001 (WWW (Companion Volume), 2020)

GAP++: Learning to generate target-conditioned adversarial examples. - Xiaofeng Mao; Yuefeng Chen; Yuhong Li; Yuan He 011; Hui Xue 001 (CoRR, 2020)

Composite Adversarial Attacks. - Xiaofeng Mao; Yuefeng Chen; Shuhui Wang; Hang Su 006; Yuan He 011; Hui Xue 001 (AAAI, 2021)

QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval. - Xiaodan Li; Jinfeng Li; Yuefeng Chen; Shaokai Ye; Yuan He 011; Shuhui Wang; Hang Su 006; Hui Xue 001 (CVPR, 2021)

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain. - Honggu Liu; Xiaodan Li; Wenbo Zhou; Yuefeng Chen; Yuan He 011; Hui Xue 001; Weiming Zhang 001; Nenghai Yu (CVPR, 2021)

Self-Supervised Learning for Few-Shot Image Classification. - Da Chen 003; Yuefeng Chen; Yuhong Li; Feng Mao; Yuan He 011; Hui Xue 001 (ICASSP, 2021)

Enhancing Model Robustness by Incorporating Adversarial Knowledge into Semantic Representation. - Jinfeng Li; Tianyu Du; Xiangyu Liu; Rong Zhang 006; Hui Xue 001; Shouling Ji (ICASSP, 2021)

Towards Face Encryption by Generating Adversarial Identity Masks. - Xiao Yang; Yinpeng Dong; Tianyu Pang; Hang Su 006; Jun Zhu 001; Yuefeng Chen; Hui Xue 001 (ICCV, 2021)

DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. - Haiwen Hong; Xuan Jin; Yin Zhang 006; Yunqing Hu; Jingfeng Zhang; Yuan He 011; Hui Xue 001 (ACM Multimedia, 2021)

RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition. - Yunqing Hu; Xuan Jin; Yin Zhang 006; Haiwen Hong; Jingfeng Zhang; Yuan He 011; Hui Xue 001 (ACM Multimedia, 2021)

RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition. - Yunqing Hu; Xuan Jin; Yin Zhang 006; Haiwen Hong; Jingfeng Zhang; Yuan He 011; Hui Xue 001 (CoRR, 2021)

Adversarial Attacks on ML Defense Models Competition. - Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; Jiayu Tang; Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; et al. (CoRR, 2021)

Unrestricted Adversarial Attacks on ImageNet Competition. - Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; Chao Li; Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; et al. (CoRR, 2021)

Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos. - Mengyi Liu; Shuhui Wang; Yulan Guo; Yuan He 011; Hui Xue 001 (IEEE Signal Process. Lett., 2021)

Towards Robust Vision Transformer. - Xiaofeng Mao; Gege Qi; Yuefeng Chen; Xiaodan Li; Ranjie Duan; Shaokai Ye; Yuan He 011; Hui Xue 001 (CVPR, 2022)

Multiple Instance Learning for Offensive Language Detection. - Jiexi Liu 005; Dehan Kong; Longtao Huang; Dinghui Mao; Hui Xue 001 (EMNLP (Findings), 2022)

Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation. - Xiaohui Song; Longtao Huang; Hui Xue 001; Songlin Hu 001 (EMNLP, 2022)

RoChBert: Towards Robust BERT Fine-tuning for Chinese. - Zihan Zhang; Jinfeng Li; Ning Shi; Bo Yuan; Xiangyu Liu; Rong Zhang 006; Hui Xue 001; Donghong Sun; Chao Zhang 008 (EMNLP (Findings), 2022)

MAKD: MULTIPLE Auxiliary Knowledge Distillation. - Zehan Chen; Xuan Jin; Yuan He 011; Hui Xue 001 (ICASSP, 2022)

LightPose: A Lightweight and Efficient Model with Transformer for Human Pose Estimation. - Xiyang Liu; Peng Li; Ding Ni; Yan Wang; Hui Xue 001 (ICASSP, 2022)

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains. - Qilong Zhang; Xiaodan Li; Yuefeng Chen; Jingkuan Song; Lianli Gao; Yuan He 011; Hui Xue 001 (ICLR, 2022)

Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition. - Yunqing Hu; Xuan Jin; Yin Zhang 006; Haiwen Hong; Jingfeng Zhang; Feihu Yan; Yuan He 011; Hui Xue 001 (ICME, 2022)

Enhance the Visual Representation via Discrete Adversarial Training. - Xiaofeng Mao; Yuefeng Chen; Ranjie Duan; Yao Zhu; Gege Qi; Shaokai Ye; Xiaodan Li; Rong Zhang 006; Hui Xue 001 (NeurIPS, 2022)

Boosting Out-of-distribution Detection with Typical Features. - Yao Zhu; Yuefeng Chen; Chuanlong Xie; Xiaodan Li; Rong Zhang 006; Hui Xue 001; Xiang Tian 002; Bolun Zheng; Yaowu Chen (NeurIPS, 2022)

Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition. - Yimu Wang; Kun Yu; Yan Wang; Hui Xue 001 (CoRR, 2022)

D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention. - Junyu Lin; Xiaofeng Mao; Yuefeng Chen; Lei Xu; Yuan He 011; Hui Xue 001 (CoRR, 2022)

Context-Aware Robust Fine-Tuning. - Xiaofeng Mao; Yuefeng Chen; Xiaojun Jia; Rong Zhang 006; Hui Xue 001; Zhao Li 007 (CoRR, 2022)

HiSA: Hierarchically Semantic Associating for Video Temporal Grounding. - Zhe Xu 009; Da Chen 003; Kun Wei; Cheng Deng; Hui Xue 001 (IEEE Trans. Image Process., 2022)

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. - Yangyi Chen; Hongcheng Gao; Ganqu Cui; Lifan Yuan; Dehan Kong; Hanlu Wu; Ning Shi; Bo Yuan; Longtao Huang; Hui Xue 001; Zhiyuan Liu 001; Maosong Sun 001; et al. (ACL (Findings), 2023)

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. - Ruixiang Tang; Dehan Kong; Longtao Huang; Hui Xue 001 (ACL (Findings), 2023)

Incremental Graph Classification by Class Prototype Construction and Augmentation. - Yixin Ren; Li Ke; Dong Li; Hui Xue 001; Zhao Li 007; Shuigeng Zhou (CIKM, 2023)

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. - Xiaodan Li; Yuefeng Chen; Yao Zhu; Shuhui Wang; Rong Zhang 006; Hui Xue 001 (CVPR, 2023)

Improving Hyper-relational Knowledge Graph Representation with Multi-grained Encoding. - Ting Ma; Longtao Huang; Hui Xue 001 (DASFAA (2), 2023)

Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations. - Gege Qi; Yuefeng Chen; Yao Zhu; Binyuan Hui; Xiaodan Li; Xiaofeng Mao; Rong Zhang 006; Hui Xue 001 (ICASSP, 2023)

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. - Xiaofeng Mao; Yuefeng Chen; Yao Zhu; Da Chen 003; Hang Su 006; Rong Zhang 006; Hui Xue 001 (ICCV, 2023)

Open-Vocabulary Object Detection With an Open Corpus. - Jiong Wang; Huiming Zhang; Haiwen Hong; Xuan Jin; Yuan He 011; Hui Xue 001; Zhou Zhao 001 (ICCV, 2023)

Inequality phenomenon in l∞-adversarial training, and its unrealized threats. - Ranjie Duan; Yuefeng Chen; Yao Zhu; Xiaojun Jia; Rong Zhang 006; Hui Xue 001 (ICLR, 2023)

Budgeted Training for Vision Transformer. - Zhuofan Xia; Xuran Pan; Xuan Jin; Yuan He 011; Hui Xue 001; Shiji Song; Gao Huang 001 (ICLR, 2023)

DR-Net: A Multi-View Face Synthesis Network Driven by Dual Representation. - Xianliang Huang; Yining Lang; Ying Guo; Yuan He 011; Hui Xue 001; Li Zhao; Shuigeng Zhou (ICME, 2023)

Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. - Gege Qi; Yuefeng Chen; Xiaofeng Mao; Xiaojun Jia; Ranjie Duan; Rong Zhang 006; Hui Xue 001 (INTERSPEECH, 2023)

FairRec: Fairness Testing for Deep Recommender Systems. - Huizhong Guo; Jinfeng Li; Jingyi Wang 004; Xiangyu Liu; Dongxia Wang 002; Zehong Hu; Rong Zhang 006; Hui Xue 001 (ISSTA, 2023)

Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection. - Maosen Li; Xurong Li; Kun Yu; Cheng Deng; Heng Huang; Feng Mao; Hui Xue 001; Minghao Li (ACM Multimedia, 2023)

BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake. - Honggu Liu; Xiaodan Li; Wenbo Zhou; Han Fang; Paolo Bestagini; Weiming Zhang 001; Yuefeng Chen; Stefano Tubaro; Nenghai Yu; Yuan He 011; Hui Xue 001 (ACM Multimedia, 2023)

Model Inversion Attack via Dynamic Memory Learning. - Gege Qi; Yuefeng Chen; Xiaofeng Mao; Binyuan Hui; Xiaodan Li; Rong Zhang 006; Hui Xue 001 (ACM Multimedia, 2023)

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Zhou Qin; Weigao Wen; Hui Xue 001; Haoyang Li 001; Wenwu Zhu 001 (NeurIPS, 2023)

Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization. - Xin Wang 019; Yue Liu; Jiapei Fan; Weigao Wen; Hui Xue 001; Wenwu Zhu 001 (WWW, 2023)

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. - Xiaojun Jia; Yuefeng Chen; Xiaofeng Mao; Ranjie Duan; Jindong Gu; Rong Zhang 006; Hui Xue 001; Xiaochun Cao (CoRR, 2023)

To make yourself invisible with Adversarial Semantic Contours. - Yichi Zhang; Zijian Zhu; Hang Su 006; Jun Zhu 001; Shibao Zheng; Yuan He 011; Hui Xue 001 (Comput. Vis. Image Underst., 2023)

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. - Dongyang Li; Junbing Yan; Taolin Zhang 001; Chengyu Wang 001; Xiaofeng He; Longtao Huang; Hui Xue 001; Jun Huang 007 (ACL (Short Papers), 2024)

DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. - Taolin Zhang 001; Qizhou Chen; Dongyang Li; Chengyu Wang 001; Xiaofeng He; Longtao Huang; Hui Xue'; Jun Huang 007 (ACL (Findings), 2024)

UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. - Dongyang Li; Taolin Zhang 001; Jiali Deng; Longtao Huang; Chengyu Wang 001; Xiaofeng He; Hui Xue 001 (LREC/COLING, 2024)

KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. - Dongyang Li; Taolin Zhang 001; Longtao Huang; Chengyu Wang 001; Xiaofeng He; Hui Xue 001 (LREC/COLING, 2024)

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. - Junbing Yan; Chengyu Wang 001; Taolin Zhang 001; Xiaofeng He; Jun Huang 007; Wei Zhang; Longtao Huang; Hui Xue 001 (LREC/COLING, 2024)

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. - Mengyao Lyu; Yuhong Yang 008; Haiwen Hong; Hui Chen 013; Xuan Jin; Yuan He 011; Hui Xue 001; Jungong Han; Guiguang Ding (CVPR, 2024)

R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models. - Taolin Zhang 001; Dongyang Li; Qizhou Chen; Chengyu Wang 001; Longtao Huang; Hui Xue 001; Xiaofeng He; Jun Huang 007 (ECAI, 2024)

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning. - Qizhou Chen; Taolin Zhang 001; Xiaofeng He; Dongyang Li; Chengyu Wang 001; Longtao Huang; Hui Xue' (EMNLP, 2024)

Large Language Model with Curriculum Reasoning for Visual Concept Recognition. - Yipeng Zhang 003; Xin Wang 019; Hong Chen 011; Jiapei Fan; Weigao Wen; Hui Xue 001; Hong Mei 001; Wenwu Zhu 001 (KDD, 2024)

Differential-Perceptive and Retrieval-Augmented MLLM for Change Captioning. - Xian Zhang; Haokun Wen; Jianlong Wu; Pengda Qin; Hui Xue'; Liqiang Nie (ACM Multimedia, 2024)

Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. - Xichen Pan; Pengda Qin; Yuhong Li; Hui Xue 001; Wenhu Chen (WACV, 2024)

S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models. - Xiaohan Yuan; Jinfeng Li; Dongxia Wang 002; Yuefeng Chen; Xiaofeng Mao; Longtao Huang; Hui Xue 001; Wenhai Wang; Kui Ren 001; Jingyi Wang 004 (CoRR, 2024)

fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations. - Jinfeng Li; Yuefeng Chen; Xiangyu Liu; Longtao Huang; Rong Zhang 006; Hui Xue 001 (CoRR, 2024)

MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue. - Fengxiang Wang; Ranjie Duan; Peng Xiao; Xiaojun Jia; Yuefeng Chen; Chongwen Wang; Jialing Tao; Hang Su 006; Jun Zhu 001; Hui Xue 001 (CoRR, 2024)

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. - Xiaojun Jia; Yuefeng Chen; Xiaofeng Mao; Ranjie Duan; Jindong Gu; Rong Zhang 006; Hui Xue 001; Yang Liu 003; Xiaochun Cao (IEEE Trans. Inf. Forensics Secur., 2024)

Context-Aware Robust Fine-Tuning. - Xiaofeng Mao; Yufeng Chen; Xiaojun Jia; Rong Zhang 006; Hui Xue 001; Zhao Li 007 (Int. J. Comput. Vis., 2024)

Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. - Yao Zhu; Yuefeng Chen; Xiaodan Li; Rong Zhang 006; Hui Xue 001; Xiang Tian 002; Rongxin Jiang 001; Bolun Zheng; Yaowu Chen (Int. J. Comput. Vis., 2024)

The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. - Bingxiang He; Ning Ding 002; Cheng Qian 008; Jia Deng; Ganqu Cui; Lifan Yuan; Haiwen Hong; Huan-ang Gao; Longtao Huang; Hui Xue 001; Huimin Chen; Zhiyuan Liu 001; et al. (ACL (Findings), 2025)

A New Model for Prototype-based Continual Learning in Hyperspherical Space. - Yixin Ren; Yewei Xia; Li Ke; Longtao Huang; Hui Xue 001; Shuigeng Zhou (ICASSP, 2025)

Improving model generalization by on-manifold adversarial augmentation in the frequency domain. - Chang Liu 077; Wenzhao Xiang 001; Yuan He 011; Hui Xue 001; Shibao Zheng; Hang Su 006 (J. Vis. Commun. Image Represent., 2025)

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models. - Xiaohan Yuan; Jinfeng Li; Dongxia Wang 002; Yuefeng Chen; Xiaofeng Mao; Longtao Huang; Jialuo Chen; Hui Xue 001; Xiaoxia Liu; Wenhai Wang; Kui Ren 001; Jingyi Wang 004 (Proc. ACM Softw. Eng., 2025)

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency. - Shiji Zhao; Ranjie Duan; Fengxiang Wang; Chi Chen; Caixin Kang; Jialing Tao; YueFeng Chen; Hui Xue 001; Xingxing Wei (CoRR, 2025)

Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink. - Yining Wang; Mi Zhang 001; Junjie Sun; Chenyue Wang; Min Yang 002; Hui Xue 001; Jialing Tao; Ranjie Duan; Jiexi Liu 005 (CoRR, 2025)

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration. - Shaola Ren; Li Ke; Longtao Huang; Dehong Gao; Hui Xue 001 (CoRR, 2025)

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. - Chang Liu 077; Yinpeng Dong; Wenzhao Xiang 001; Xiao Yang; Hang Su 006; Jun Zhu 001; Yuefeng Chen; Yuan He 011; Hui Xue 001; Shibao Zheng (Int. J. Comput. Vis., 2025)

EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision. - Xiaofeng Mao; Yuefeng Chen; Rong Zhang 006; Hui Xue 001; Zhao Li 007; Hang Su 006 (CoRR, 2025)

AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset. - Bingxiang He; Wenbin Zhang; Jiaxi Song; Cheng Qian 008; Zixuan Fu; Bowen Sun; Ning Ding 002; Haiwen Hong; Longtao Huang; Hui Xue 001; Ganqu Cui; Wanxiang Che; et al. (CoRR, 2025)

ANF: Crafting Transferable Adversarial Point Clouds via Adversarial Noise Factorization. - Hai Chen; Shu Zhao; Xiao Yang; Huanqian Yan; Yuan He 011; Hui Xue 001; Fulan Qian; Hang Su 006 (IEEE Trans. Big Data, 2025)

Score-based Generative Modeling for Conditional Independence Testing. - Yixin Ren; Chenghou Jin; Yewei Xia; Li Ke; Longtao Huang; Hui Xue 001; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (CoRR, 2025)

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning. - Chendi Ge; Xin Wang 019; Zeyang Zhang 001; Hong Chen 011; Jiapei Fan; Longtao Huang; Hui Xue 001; Wenwu Zhu 001 (CoRR, 2025)